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Author

Shiguang Shan

2 papers indexed here

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Nov 2026

Improving Policy Learning via Language-Guided State Representation in World Models

World models have emerged as powerful technology for facilitating policy learning in robotics by providing predictive representations of environmental dynamics. A crucial component of such models is the internal state representation, which serves as a bridge between observation, decision-making, and future state predic...

Li-Xuan Zhang, Meina Kan, Shiguang Shan et al. · 0 citations
Preprint Sep 2026

ViLoMan: Learning Visual-Proprioceptive Whole-Body Loco-Manipulation Skills for Humanoid Robots

Humanoid loco-manipulation requires adaptive whole-body coordination to seamlessly integrate locomotion and physical interaction. Despite recent advances, learning autonomous loco-manipulation remains challenging due to the scarcity of diverse, physically executable robot-object interaction data and the difficulty of l...

Ze-Jie Tian, Rui-Bing Hou, Bin Ma et al. · 0 citations

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